Postdoctoral Researcher in Machine Learning for Renewable Energy
This is a unique opportunity to contribute to cutting-edge research in machine learning applications for renewable energy systems.
We are seeking a highly skilled and motivated postdoctoral researcher to join our team. As a postdoctoral researcher, you will work closely with our team of experts to develop innovative machine learning algorithms for dynamic systems, particularly in the field of renewable energy.
The successful candidate will have a strong background in machine learning and deep learning, with experience in developing and applying these methods to sequential or time-series data. Experience in renewable energy applications is highly desirable.
You will be responsible for designing, implementing, and testing machine learning models to improve the efficiency and effectiveness of renewable energy systems. You will also collaborate with our team to publish research papers, participate in conferences, and engage with industry partners.
This role offers an exciting opportunity to work on challenging projects, develop your skills, and advance your career in a dynamic and supportive environment.
Key Responsibilities:
* Develop and apply machine learning algorithms for dynamic systems, particularly in renewable energy applications
* Design, implement, and test machine learning models to improve the efficiency and effectiveness of renewable energy systems
* Collaborate with the team to publish research papers, participate in conferences, and engage with industry partners
* Contribute to the development of data engineering pipelines, including data aggregation, processing, and visualization
* Work in a Unix-based environment, managing server infrastructure and collaborating with colleagues on software development projects
Requirements:
* PhD in Computer Science or a related field
* Strong background in machine learning and deep learning, with experience in developing and applying these methods to sequential or time-series data
* Experience in renewable energy applications is highly desirable
* Familiarity with scientific programming languages, such as Python or R, and deep learning frameworks, such as PyTorch or TensorFlow
* Ability to work collaboratively as part of a team, communicate effectively, and interact with diverse stakeholders
Benefits:
* Opportunity to work on cutting-edge research projects
* Chance to develop new skills and advance your career
* Collaborative and dynamic work environment
* Professional development opportunities